Artificial Intelligence and the Medical School Admissions Interview: Strategic Guidance, Risks, and Lessons from...

Area of Science:

• Medical Education
• Artificial Intelligence
• Admissions Processes

Background:

• The medical school interview, traditionally human-centered, is increasingly influenced by artificial intelligence (AI).
• AI presents both opportunities for efficiency and risks to fairness in admissions.
• Existing research in industrial-organizational psychology and corporate hiring offers insights into AI's impact on evaluation.

Purpose of the Study:

• To explore the multifaceted impact of AI on medical school interview preparation, design, and delivery.
• To identify emerging threats, such as AI-enabled cheating, and propose mitigation strategies.
• To offer actionable recommendations for integrating AI ethically and effectively into the admissions process.

Main Methods:

• Literature review drawing from industrial-organizational psychology and corporate hiring practices.
• Analysis of AI's current and potential applications in interview contexts.
• Development of practical strategies and recommendations for stakeholders.

Main Results:

• AI offers potential benefits for extending access and improving efficiency in medical school interviews.
• Significant risks include AI-enabled cheating and the potential erosion of authenticity and fairness.
• Practical strategies are proposed to leverage AI while preserving human judgment and value.

Conclusions:

• Medical education leaders must proactively address the integration of AI in admissions.
• Implementing robust policies, comprehensive training, and ethical safeguards is crucial.
• AI can enhance medical school admissions if managed responsibly, aligning with ethical and legal standards.